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Research on basin insulator defect detection based on laser ultrasonic peak reconstruction algorithm
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Wei WANG1, Hong LIU1, Like DONG1, Yudong XU1, Haifei WU2, 3, Hui XIA2, 3, Zhonghua SHEN4
Insulating Materials | 2023, 56(1) : 96 - 101
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Insulating Materials | 2023, 56(1): 96-101
• Test and Analysis •
Research on basin insulator defect detection based on laser ultrasonic peak reconstruction algorithm
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Wei WANG1, Hong LIU1, Like DONG1, Yudong XU1, Haifei WU2, 3, Hui XIA2, 3, Zhonghua SHEN4
Affiliations
  • 1State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, China
  • 2School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100190, China
  • 3Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
  • 4School of Science, Nanjing University of Science and Technology, Nanjing 210094, China
Published: 2023-01-20 doi: 10.16790/j.cnki.1009-9239.im.2023.01.015
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On the basis of laser ultrasonic technology, a peak reconstruction algorithm of surface wave was studied, and an experimental platform of two-dimensional laser excitation scanning laser ultrasonic detection for basin insulators was built. Then the artificial bubble, impurity, and crack defects were detected and studied, and the basin insulator with crack fault in practical field application was carried out off-line detection. The results show that the reconstructed peak image based on laser ultrasonic peak reconstruction algorithm can better reflect the defect information of basin insulator in scanning interval, which proves that this method can realize the off-line detection of surface crack defect on the basin insulator.

basin insulator  /  laser ultrasonic  /  peak reconstruction algorithm  /  nondestructive testing
Wei WANG, Hong LIU, Like DONG, Yudong XU, Haifei WU, Hui XIA, Zhonghua SHEN. Research on basin insulator defect detection based on laser ultrasonic peak reconstruction algorithm[J]. Insulating Materials, 2023 , 56 (1) : 96 -101 . DOI: 10.16790/j.cnki.1009-9239.im.2023.01.015
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Article Info
doi: 10.16790/j.cnki.1009-9239.im.2023.01.015
  • Receive Date：2022-01-06
  • Online Date：2025-11-21
  • Published：2023-01-20
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History
  • Received：2022-01-06
  • Revised：2022-03-07
Funding
Affiliations
    1State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, China
    2School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100190, China
    3Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
    4School of Science, Nanjing University of Science and Technology, Nanjing 210094, China
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https://castjournals.cast.org.cn/joweb/jycl/EN/10.16790/j.cnki.1009-9239.im.2023.01.015
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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